-{"pageProps":{"frontmatter":{"title":"About"},"content":"\nLarge Model Systems (LMSYS Corp.) is a 501(c)(3) non-profit focused on incubating open-source projects and research.\nOur mission is to make large AI models accessible to everyone by co-developing open models, datasets, systems, and evaluation tools. We conduct cutting-edge machine learning research, develop open-source software, train large language models for broad accessibility, and build distributed systems to optimize their training and inference.\n\n## Directors and officers\n[Ying Sheng](https://sites.google.com/view/yingsheng/home), [Lianmin Zheng](https://lmzheng.net/), [Wei-Lin Chiang](https://infwinston.github.io/), [Zihao Ye](https://homes.cs.washington.edu/~zhye/), [Yusi Chen](), [Tiancheng Xie](https://niconiconi.github.io/en_index.html).\n\n## Members of flagship projects\n**SGLang** major developers:\n[Lianmin Zheng](https://lmzheng.net/),\n[Ying Sheng](https://sites.google.com/view/yingsheng/home),\n[Liangsheng Yin](https://www.lsyin.me),\n[Yineng Zhang](https://zhyncs.com),\n[Ke Bao](https://github.com/ispobock),\n[Byron Hsu](https://www.linkedin.com/in/byronhsu1230),\n[Chenyang Zhao](https://zhaochenyang20.github.io/Chayenne),\n[Zhiqiang Xie](https://zhiqiangxie.com),\n[Jingyi Chen](https://github.com/fzyzcjy),\n[Xiaoyu Zhang](https://github.com/BBuf),\n[Baizhou Zhang](https://github.com/Fridge003),\n[Yi Zhang](https://github.com/yizhang2077),\n[Jiexin Liang](https://github.com/Alcanderian),\n[Chang Su](https://github.com/CatherineSue),\n[Simo Lin](https://github.com/slin1237),\n[Hai Xiao](https://github.com/HaiShaw).\nMore information see [SGLang GitHub](https://github.com/sgl-project/sglang).\n\n**FlashInfer**:\n[Zihao Ye](https://homes.cs.washington.edu/~zhye/).\nMore information see [FlashInfer GitHub](https://github.com/flashinfer-ai/flashinfer).\n\n**Chatbot Arena** (graduated): See [https://blog.lmarena.ai/about](https://blog.lmarena.ai/about)\n\n**Vicuna LLM**:\n[Wei-Lin Chiang](https://infwinston.github.io/),\n[Joseph E. Gonzalez](https://people.eecs.berkeley.edu/~jegonzal/),\n[Dacheng Li](https://dachengli1.github.io),\n[Zhuohan Li](https://people.eecs.berkeley.edu/~zhuohan),\n[Zi Lin](https://zi-lin.com),\n[Ying Sheng](https://sites.google.com/view/yingsheng/home),\n[Ion Stoica](https://people.eecs.berkeley.edu/~istoica/),\n[Zhanghao Wu](https://zhanghaowu.me),\n[Eric P. Xing](http://www.cs.cmu.edu/~epxing/),\n[Hao Zhang](https://people.eecs.berkeley.edu/~hao/),\n[Lianmin Zheng](https://lmzheng.net/),\n[Siyuan Zhuang](https://github.com/suquark),\n[Yonghao Zhuang](https://github.com/ZYHowell)\n\n\nProject memberships are granted to individuals who have demonstrated outstanding technical contributions and research impact in LMSYS projects, as evaluated by our advisory board of distinguished academics and industry leaders.\n\n## Advisors\n[Joseph E. Gonzalez](https://people.eecs.berkeley.edu/~jegonzal/), [Ion Stoica](https://people.eecs.berkeley.edu/~istoica/), [Eric P. Xing](http://www.cs.cmu.edu/~epxing/), [Hao Zhang](https://people.eecs.berkeley.edu/~hao/), [Jun Qian](https://www.linkedin.com/in/junqian1/), [Mingxing Zhang](https://madsys.cs.tsinghua.edu.cn/~zhangmx/)\n\n## Sponsors\nLMSYS is supported by donations from the following institutions:\n\n[Voltage Park](https://www.voltagepark.com/),\n[NVIDIA](https://www.nvidia.com/),\n[Nebius](https://nebius.com/),\n[Google Cloud](https://cloud.google.com/),\n[AtlasCloud](https://www.atlascloud.ai/),\n[a16z](https://a16z.com/),\n[AMD](https://www.amd.com/),\n[InnoMatrix](https://innomatrix.ai/),\n[Laude Institute](https://www.laude.org/),\n[Hyperbolic](https://hyperbolic.xyz),\n[NovitaAI](https://novita.ai/),\n[DataCrunch](https://datacrunch.io/),\n[Sky9](https://www.sky9capital.com/),\n[Kaggle](https://www.kaggle.com/),\n[MBZUAI](https://mbzuai.ac.ae/),\n[Together](https://www.together.ai/),\n[RunPod](https://www.runpod.io/),\n[Anyscale](https://www.anyscale.com/),\n[HuggingFace](https://huggingface.co/)\n\nWe also thank the following companies for providing API credits to serve their models on Chatbot Arena (graduated):\n[Alibaba](https://www.alibabacloud.com/en/solutions/generative-ai/qwen), [Anthropic](https://www.anthropic.com/api), [Cohere](https://cohere.com/), [Databricks](https://www.databricks.com/), [Google](https://ai.google.dev/), [Mistral](https://mistral.ai/), [OpenAI](https://www.openai.com/), [Reka](https://www.reka.ai/), [01ai](https://www.01.ai/)\n\nWe welcome diverse forms of donations and sponsorships, including but not limited to cash, computing devices (e.g., GPUs), and cloud credits. Please refer to to https://lmsys.org/donations/.\n\n## History\nLMSYS originated from a multi-university collaboration involving UC Berkeley, Stanford, UCSD, CMU, and MBZUAI in 2023.\nIt was established as a non-profit corporation in September 2024 to incubate early-stage open-source and research projects.\nIt became well-known for its impactful flagship projects, including:\n\n- [Chatbot Arena (graduated)](https://lmarena.ai/)\n- [SGLang](https://github.com/sgl-project/sglang/tree/main)\n- [FastChat](https://github.com/lm-sys/FastChat/tree/main)\n- [Vicuna LLM](https://en.wikipedia.org/wiki/Vicuna_LLM)\n\nThese projects feature open models with millions of downloads, crowdsourced platforms with millions of users, and efficient systems that are orders of magnitude faster.\n\n## Contact us\n- Email us at [lmsys.org@gmail.com](mailto:lmsys.org@gmail.com).\n- Join us on [Slack](https://slack.sglang.io).\n- Follow us on [X](https://twitter.com/lmsysorg).\n"},"__N_SSG":true}
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